Abstract

Detection of circulating tumor cells (CTCs) from whole blood is critical for cancer diagnosis and prognosis. Cell impedance is a significant biophysical parameter of a cell. In this research, we presented a method of CTC label-free detection from the whole blood by establishing the impedance model of CTCs, white blood cells (WBCs) and red blood cells (RBCs). We used four parallel constriction channels sharing a pair of electrodes to measure the impedance. CTCs were deformed when passing through the channel while WBCs and RBCs were not. We processed the data with machine learning algorithms to identify the impedance signal of each single CTC and cell clusters of WBCs and RBCs. An algorithm based on -means method and relevance analysis were proposed to segment each single cell or cell cluster data from impedancetime data. We established the impedance property model with histograms and …

Date

May 11, 2025

Authors

Jiaming Chen, Mengkun Chen, Asra Samouan Miandoab, Kewei Liu, Inyoung Kim, Yuxiang Qin, Xiuyun Liu, Miao Yu, Xiang Ren

Conference

2025 IEEE 20th International Conference on Nano/Micro Engineered and Molecular Systems (NEMS)

Pages

140-145

Publisher

IEEE